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Modeling Stochastic Route Choice Behaviors with Equivalent Impedance

机译:用等效阻抗建模随机路径选择行为

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摘要

A Logit-based route choice model is proposed to address the overlapping and scaling problems in the traditional multinomial Logit model. The nonoverlapping links are defined as a subnetwork, and its equivalent impedance is explicitly calculated in order to simply network analyzing. The overlapping links are repeatedly merged into subnetworks with Logit-based equivalent travel costs. The choice set at each intersection comprises only the virtual equivalent route without overlapping. In order to capture heterogeneity in perception errors of different sizes of networks, different scale parameters are assigned to subnetworks and they are linked to the topological relationships to avoid estimation burden. The proposed model provides an alternative method to model the stochastic route choice behaviors without the overlapping and scaling problems, and it still maintains the simple and closed-form expression from the MNL model. A link-based loading algorithm based on Dial's algorithm is proposed to obviate route enumeration and it is suitable to be applied on large-scale networks. Finally a comparison between the proposed model and other route choice models is given by numerical examples.
机译:为了解决传统多项式Lo​​git模型中的重叠和缩放问题,提出了一种基于Logit的路由选择模型。不重叠的链路定义为子网,显式计算其等效阻抗以简化网络分析。重叠的链接反复合并到子网中,并具有基于Logit的等效旅行成本。每个交叉点的选择集仅包含虚拟等效路线,没有重叠。为了捕获不同规模网络的感知错误中的异质性,将不同规模的参数分配给子网,并将它们与拓扑关系链接起来,以避免估计负担。所提出的模型提供了另一种方法来对随机的路线选择行为进行建模,而不会出现重叠和缩放问题,并且该模型仍然保持了MNL模型的简单且封闭形式的表达。提出了一种基于Dial算法的基于链路的加载算法,避免了路由枚举,适用于大规模网络。最后,通过数值算例对所提出的模型与其他路径选择模型进行了比较。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第16期|313249.1-313249.10|共10页
  • 作者

    Li Jun; Huang Yulin; Lai Xinjun;

  • 作者单位

    Sun Yat Sen Univ, Sch Engn, Res Ctr Intelligent Transportat Syst, Guangzhou 510275, Guangdong, Peoples R China.;

    Sun Yat Sen Univ, Sch Engn, Res Ctr Intelligent Transportat Syst, Guangzhou 510275, Guangdong, Peoples R China.;

    Sun Yat Sen Univ, Sch Engn, Res Ctr Intelligent Transportat Syst, Guangzhou 510275, Guangdong, Peoples R China.;

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